Azure Data Engineer Course | Azure Data Engineer Online Training

1. What is Azure Data Architecture? & Key Components and Considerations Azure Data Architecture refers to the structured framework and components within Microsoft Azure that support the storage, processing, management, and analysis of data. It encompasses a set of Azure services and solutions designed to handle diverse data workloads, including relational and non-relational databases, big data analytics, machine learning, and more. The goal of Azure Data Architecture is to provide a scalable, flexible, and integrated environment for organizations to derive insights from their data. - Azure Data Engineer Online Training Key components and considerations within Azure Data Architecture include: 1.Azure Data Services: •Azure Synapse Analytics is a cloud analytics service that mixes big data with data warehousing. These services include Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Blob Storage, Azure Synapse Analytics, Azure Databricks, Azure Machine Learning, and more. 2.Azure Synapse Analytics (formerly SQL Data Warehouse): •Azure Data Lake Storage is a scalable and secure data lake solution designed for big data analytics. It enables organizations to analyze large volumes of

2. data using both on-demand and provisioned resources. - Azure Data Engineer Course 3.Azure SQL Database: •Azure SQL Database is a fully managed relational database service in the cloud. It supports both single databases and elastic pools for managing multiple databases with varying resource requirements. 4.Azure Cosmos DB: •Azure Cosmos DB is a multi-model, globally distributed database service that supports NoSQL data models such as document, graph, key-value, and column-family. It provides low-latency, high-throughput access to data globally. 5.Azure Data Lake Storage: •Azure Machine Learning is a cloud-based platform for creating, training, and deploying machine learning models. It allows organizations to store and analyze massive amounts of unstructured and semi-structured data. - Azure Data Engineer Training Hyderabad 6.Azure Blob Storage: •Azure Blob Storage is a highly scalable object storage service designed to store and retrieve large amounts of unstructured data, such as documents, images, videos, and log files. 7.Azure Databricks: •Azure Databricks is an Apache Spark-based analytics platform that facilitates big data processing and machine learning. It provides an interactive workspace for collaborative data science and engineering. 8.Azure Machine Learning: •Azure Machine Learning is a cloud-based service for building, training, and deploying machine learning models. It supports various machine-learning frameworks and tools. - Data Engineer Training Hyderabad 9.Azure Data Factory:

3. •Azure Data Factory is a cloud-based data integration service that allows organizations to create, schedule, and manage data pipelines for moving and transforming data. 10.Security and Compliance: •Azure Data Architecture includes features and services for ensuring the security and compliance of data. This involves encryption, identity and access management, auditing, and compliance certifications. 11.Integration with On-Premises Systems: •Azure provides connectivity options and services for integrating with on- premises data sources and systems, ensuring a seamless and hybrid data architecture. - Azure Data Engineer Training Azure Data Architecture is designed to support the entire data lifecycle, from ingestion and storage to processing and analysis. Organizations can leverage these services based on their specific data requirements and use cases, allowing for a comprehensive and integrated approach to managing and deriving insights from data. Visualpath is the Best Software Online Training Institute in Hyderabad. Avail complete Azure Data Engineer Trainingworldwide. You will get the best course at an affordable cost. Attend Free Demo Call on - +91-9989971070. WhatsApp: https://www.whatsapp.com/catalog/919989971070 Visit https://visualpath.in/azure-data-engineer-online-training.html